Survivability analysis for a three-dimensional predator–prey model with Markov switching
Xiaoling Zou,
Cong Lin,
Yan Qian and
JingLiang Lv
Mathematics and Computers in Simulation (MATCOM), 2026, vol. 240, issue C, 270-283
Abstract:
Predator–prey model is a classic biological model used to study the relationship between species survival. In this study, we investigate a stochastic single predator–dual prey model with Beddington–DeAngelis functional response and Markov switching. The main contribution of this paper is that we give the integrity analysis of all possible living states, and also give the corresponding numerical simulations by python software. Survival conditions in this paper are obtained based on integrations about the stationary distributions of some auxiliary equations. One point of interest is the verification of survival conditions in numerical simulations. First, the integration with respect to stationary measure is calculated for each state, and then the averaged value is obtained by using the stationary distribution of the Markov chain.
Keywords: Beddington–Deangelis functional response; Extinction and weak persistence; Positive recurrence; Stationary distribution (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475425002241
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:240:y:2026:i:c:p:270-283
DOI: 10.1016/j.matcom.2025.06.002
Access Statistics for this article
Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens
More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().